Results 101 to 110 of about 16,062,156 (297)

PAK1 activation drives divergent resistance mechanisms to aromatase inhibition and tamoxifen in a luminal: A breast cancer model

Molecular Oncology, EarlyView.
Breast cancer remains a major cause of cancer death in women, frequently developing endocrine therapy resistance. This study demonstrates that upregulated p21‐activated kinase 1 (PAK1) activity drives resistance to tamoxifen and long‐term estrogen deprivation in ER+ breast cancer models.
Luisa Schwarzmüller, Janina Müller, Efstathios‐Iason Vlachavas, Lukas Beumers, Lena Fleischhacker, Sara Burmester, Angelika Wörner, Sabine Karolus, Dominic Helm, Cindy Körner, Stefan Wiemann   +10 more
wiley   +1 more source

DOPNet: Achieving Accurate and Efficient Point Cloud Registration Based on Deep Learning and Multi-Level Features. [PDF]

Sensors (Basel), 2022
Yi R, Li J, Luo L, Zhang Y, Gao X, Guo J.   +5 more
europepmc   +1 more source

In vitro and in silico modelling of ROS1‐positive non‐small cell lung cancer reveals fusion‐dependent tyrosine kinase inhibitor responses

Molecular Oncology, EarlyView.
Drug resistance limits treatment success in a subset of lung cancers driven by ROS1 gene alterations. Using patient‐derived cells and computer simulations, we studied three key mutations and how they affect five targeted drugs. The mutations reduced drug effectiveness in different ways by altering protein structure and behavior.
Farhan Ul Haq, Marc Terrones, Felicia Rodrigues Fortes, Anne Schepers, Alessia Denis, Christophe Deben, Ken Op de Beeck, Guy Van Camp, Geert Vandeweyer   +8 more
wiley   +1 more source

Tags Re-ranking Using Multi-level Features in Automatic Image Annotation [PDF]

Journal of Advances in Computer Engineering and Technology, 2019
Automatic image annotation is a process in which computer systems automatically assign the textual tags related with visual content to a query image. In most cases, inappropriate tags generated by the users as well as the images without any tags among ...
Forogh Ahmadi, Vafa Maihami
doaj  

Multi-Level Joint Feature Learning for Person Re-Identification

, 2020
In person re-identification, extracting image features is an important step when retrieving pedestrian images. Most of the current methods only extract global features or local features of pedestrian images.
Shaojun Wu, Ling Gao
core   +1 more source

Circulating microRNA signatures of cachexia and cancer in Canis familiaris as a comparative oncology model for human disease

Molecular Oncology, EarlyView.
Circulating microRNAs as biomarkers of cachexia and sex‐specific cancer in senior dogs. In 25 client‐owned dogs, four circulating miRNAs (miR‐15a, miR‐15b, miR‐16, miR‐140) were downregulated in cachexia, with miR‐16 the strongest individual biomarker (AUC = 0.899).
Soon‐Seok Park, Kyongman An, Gyeonghwa Kim, Soo‐Nyun Choi, Hong‐Ki Lee, Keun Hur, Kyu‐Shik Jeong   +6 more
wiley   +1 more source

Generative Adversarial Network for Mural Inpainting Based on Multi-level Feature Fusion and Hypergraph Convolution

工程科学与技术
Aiming at the problems of low feature utilization and insufficient attention to context information in existing deep learning image restoration methods, a generative adversarial mural restoration model based on multi-level feature fusion and hypergraph ...
Yong CHEN, Meifeng TAO, Mengxue ZHAO
doaj  

Detecting Personal Medication Intake in Twitter via Domain Attention-Based RNN with Multi-Level Features. [PDF]

Comput Intell Neurosci, 2022
Xiong S, Batra V, Liu L, Xi L, Sun C.
europepmc   +1 more source

Cancer‐associated mutations in endometriosis reframe a benign disease through molecular oncology

Molecular Oncology, EarlyView.
This review aims to comprehensively analyse cancer‐associated somatic mutations (CAMs) present in endometriotic lesions, emphasizing their biological roles, spatial distribution and implications for translational applications in medicine. By contextualizing a benign state within a genomic framework, this analysis seeks to establish its value as a ...
Clarissa Mujacic, Maria Concetta Vitale, Rita Siino, Emilia Di Giovanni, Carla Ferrante Bannera, Enrico Di Marco, Andrea Gottardo, Tancredi Didier Bazan Russo, Nadia Barraco, Alessandro Perez, Valerio Gristina, Antonio Galvano, Giuseppe Badalamenti, Antonio Russo, Viviana Bazan, Lorena Incorvaia   +15 more
wiley   +1 more source

Multilingual Event Detection Based on Cross-level and Multi-view Features Fusion [PDF]

Jisuanji kexue
The goal of the multilingual event detection task is to organize a collection of news documents in multiple languages into different key events,where each event can include news documents in different languages.This task facilitates various downstream ...
ZHANG Zhiyuan, ZHANG Weiyan, SONG Yuqiu, RUAN Tong
doaj   +1 more source